2021
DOI: 10.1007/s10998-021-00382-1
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On geometry of numbers and uniform rational approximation to the Veronese curve

Abstract: We refine upper bounds for the classical exponents of uniform approximation for a linear form on the Veronese curve in dimension from 3 to 9. For dimension three, this in particular shows that a bound previously obtained by two different methods is not sharp. Our proof involves parametric geometry of numbers and investigation of geometric properties of best approximation polynomials. Slightly stronger bounds have been obtained by Poels with a different method contemporarily. In fact, we obtain the same bounds … Show more

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Cited by 5 publications
(2 citation statements)
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“…In 1969, Davenport and Schmidt [6] verified that λ𝑛 (𝜉) ⩽ 1∕⌊ 𝑛 2 ⌋ which, in view of the lower bound 1∕𝑛 ⩽ λ𝑛 (𝜉), leaves a small window for the values of the exponent λ𝑛 . Later, their bound was slightly improved by several authors, most recent results belong to Laurent [7] and Schleischitz [13]. However, all these upper bounds are still of the form…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In 1969, Davenport and Schmidt [6] verified that λ𝑛 (𝜉) ⩽ 1∕⌊ 𝑛 2 ⌋ which, in view of the lower bound 1∕𝑛 ⩽ λ𝑛 (𝜉), leaves a small window for the values of the exponent λ𝑛 . Later, their bound was slightly improved by several authors, most recent results belong to Laurent [7] and Schleischitz [13]. However, all these upper bounds are still of the form…”
Section: Introductionmentioning
confidence: 99%
“…In 1969, Davenport and Schmidt [6] verified that λ̂n(ξ)1/n2$\widehat{\lambda }_n(\xi ) \leqslant 1/\lfloor \frac{n}{2}\rfloor$ which, in view of the lower bound 1/nλ̂n(ξ)$1/n\leqslant \widehat{\lambda }_n(\xi )$, leaves a small window for the values of the exponent trueλ̂n$\widehat{\lambda }_n$. Later, their bound was slightly improved by several authors, most recent results belong to Laurent [7] and Schleischitz [13]. However, all these upper bounds are still of the form 2n+O(n2)$\frac{2}{n} + O(n^{-2})$.…”
Section: Introductionmentioning
confidence: 99%